Under Big Data Analysis Technology Study on High-Quality Development Level of Agriculture in Sichuan Province

DOI

10.2991/978-94-6463-064-0_116How to use a DOI?

Keywords

big data analysis technology; high-quality agricultural development; comprehensive index model; Sichuan

Abstract

As the core technology of the new era, big data analysis technology has a significant impact on the agricultural competitiveness of a region. Promoting the high-quality development of agriculture is of great significance to the construction of Rural Revitalization in Sichuan under big data analysis technology. Based on the definition of high-quality agricultural development, this paper constructed five dimensional index system including agricultural technology innovation and agricultural structure coordination. We then selected the panel data of 21 cities from 2010 to 2018 in Sichuan and used the comprehensive index model to calculate the index weight and development level. The results revealed that the overall level of high-quality agricultural development showed a fluctuating upward trend, the highest score was 1.87 times of the lowest score, and the gap between cities was obvious. Furthermore, the level of the five dimensions was not balanced, particularly agricultural openness. Therefore, we can improve high-quality agricultural development level by promoting the application of agricultural machinery and increasing investment in science and technology. Specifically, local cities and neighbouring cites should use big data technology to break administrative barriers to cooperate with each other, establish agricultural big data analysis database, and strengthen capital investment in big data technology construction.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Minxiang Yue
AU  - Zhengyong Cao
PY  - 2022
DA  - 2022/12/27
TI  - Under Big Data Analysis Technology Study on High-Quality Development Level of Agriculture in Sichuan Province
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1115
EP  - 1124
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_116
DO  - 10.2991/978-94-6463-064-0_116
ID  - Yue2022
ER  -